What question did this study set out to answer?

To evaluate the validity and accuracy of revised administrative claims algorithms for identifying Alzheimer's disease and related dementias in Medicare data.

December 17, 2021The Journals of Gerontology Series AOpen Access

Validation of Claims Algorithms to Identify Alzheimer’s Disease and Related Dementias

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To evaluate the validity and accuracy of revised administrative claims algorithms for identifying Alzheimer's disease and related dementias in Medicare data.
Assessed revised claims-based algorithms using Medicare administrative data to detect dementia diagnoses.
Evaluated diagnostic accuracy and comparative tradeoffs among multiple algorithmic identification strategies for research use.
Revised algorithms demonstrate reasonable diagnostic accuracy for dementia identification in administrative data.
Performance varies noticeably across algorithmic approaches, revealing critical trade-offs between sensitivity and specificity that investigators must weigh.

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Implication

Validation study reveals reasonable accuracy of claims algorithms for detecting dementia in Medicare beneficiaries, highlighting important diagnostic trade-offs across approaches.

Cite This Study

McCarthy et al. (2021) studied this question.

synapsesocial.com/papers/69db23a31e19c8ae08836a03 https://doi.org/10.1093/gerona/glab373

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Implication

Validation study reveals reasonable accuracy of claims algorithms for detecting dementia in Medicare beneficiaries, highlighting important diagnostic trade-offs across approaches.

Validation of Claims Algorithms to Identify Alzheimer’s Disease and Related Dementias

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Implication

Cite This Study

Validation of Claims Algorithms to Identify Alzheimer’s Disease and Related Dementias

Key Points

Discussion

Implication

Cite This Study

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